Starred repositories
SynthID Bio is a family of methods developed by Google DeepMind for embedding highly detectable yet function-preserving watermarks directly into AI-generated biological sequences and structures.
Optimize prompts, code, and more with AI-powered Reflective Optimization
Visualize any GitHub codebase: free interactive architecture diagrams and one-minute explainer videos. Replace 'hub' with 'diagram' in any GitHub URL.
Tutorial for SN2 reaction modeling with ORCA
[ECCV 2026] Official implementation of "MMDiff: Extending Diffusion Transformers for Multi-Modal Generation"
[MICCAI2024] "FedFMS: Exploring Federated Foundation Models for Medical Image Segmentation". A framework for fine-tuning SAM (Segment Anything) in the federated learning paradigm for medical image …
Spandrel gives your project support for various PyTorch architectures meant for AI Super-Resolution, restoration, and inpainting. Based on the model support implemented in chaiNNer.
CVPR2023 - Activating More Pixels in Image Super-Resolution Transformer TPAMI - HAT: Hybrid Attention Transformer for Image Restoration
SwinIR: Image Restoration Using Swin Transformer (official repository)
his script came from the need to improve the quality of images in a simple and automated way, especially useful for those dealing with a large number of images. Whether it's for a machine learning …
Code for "FastSAM3D: An Efficient Segment Anything Model for 3D Volumetric Medical Images"
One-line code to get SoTA pre-trained Medical Image Models ready in PyTorch.
Code and data for Natural Language Processing Demystified
A 3D Vision Transformer-based neural network for reconstructing electrical properties of tissues from MRI data.
A large-scale dataset of both raw MRI measurements and clinical MRI images.
DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
Knowledge distillation on DNABERT (DistilBERT and MiniLM techniques) for promoter identification.
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
A library for scientific machine learning and physics-informed learning
A Multi-Branch Transformer Fusion Framework for CRISPR-Cas9 Off-Target Prediction
SLURM cluster monitor for queue bypass and GPU idle detection — Ilum/CNPEM
SAM-Med3D: An Efficient General-purpose Promptable Segmentation Model for 3D Volumetric Medical Image
This repository contains the code to train and evaluate TRIBE v2, a multimodal model for brain response prediction